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Filtragem por: Unit (Department) Materials Science & Engineering UN SDG 9 - Industry, Innovation and Infrastructure

Multi-Scale Microstructure Predictions and Phase Transformations in Additively Manufactured Ti-6Al-4V Using a Hybrid Mechanistic and Machine Learning Model

Palavra-chave:

phase field, microstructure modeling and simulation, laser powder bed fusion, titanium alloys, finite difference-Monte Carlo, and in-situ synchrotron X-ray diffraction

O Criador:

Whitney, Bonnie

Advisor:

Lados, Diana A. and Spangenberger, Anthony

Editor:

Worcester Polytechnic Institute

Data Criada:

2024-04-22

Resource Type:

Dissertation

Degree:

PhD

Unit (Department):

Materials Science & Engineering